{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\k1466170\Documents\Great Reform riots\UK riots\Data\Parish Names\Hobsbawm\replication material - BJPolS\Swing_replication.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 9 Oct 2020, 13:09:42

{com}. do "C:\Users\k1466170\AppData\Local\Temp\STD30e0_000000.tmp"
{txt}
{com}. 
. ********************************************************************************
. ** Replication file for Aidt and Leon (2020), "The role of structural factors **
. ** and diffusion in social unrest: evidence from the Swing riots              **
. ********************************************************************************
. 
. clear
{txt}
{com}. clear matrix
{txt}
{com}. clear mata
{txt}
{com}. set maxvar 32000

{txt}
{com}. 
. * Set directory (update as appropriate)
. cd "C:\Users\k1466170\Documents\Great Reform riots\UK riots\Data\Parish Names\Hobsbawm\replication material - BJPolS"
{res}C:\Users\k1466170\Documents\Great Reform riots\UK riots\Data\Parish Names\Hobsbawm\replication material - BJPolS
{txt}
{com}. sysdir set PERSONAL "C:\Users\k1466170\Documents\ado"
{txt}
{com}. sysdir set PLUS "C:\Users\k1466170\Documents\ado"
{txt}
{com}. 
. 
. use riotscrosssection.dta
{txt}
{com}. set more off
{txt}
{com}. 
. 
. 
.                         ***********************************************************
.                         * Cross-section tables for the main text - Row Normalised *
.                         ***********************************************************
. 
. 
. * Table 1, column 2 (Poisson)
. xi: ppml allriotsX allriots_nearRN cereal ln_rural enclosure ln_wealth ln_males ln_total_of_person ln_trade ln_professionals ln_petitions news_10 ln_garr_min_dis Dpolice10 i.county, cluster(input_fid) technique(irls)
{txt}i.county{col 19}_Icounty_1-39{col 39}(_Icounty_1 for cou~y==BEDFORDSHIRE omitted)

note: checking the existence of the estimates

{err}Number of regressors excluded to ensure that the estimates exist: 4
Excluded regressors:  _Icounty_11 _Icounty_25 _Icounty_28 _Icounty_36
Number of observations excluded: 243

{txt}note: starting ppml estimation

Iteration 1:{col 16}deviance = {res} 8908.756
{txt}Iteration 2:{col 16}deviance = {res} 7350.385
{txt}Iteration 3:{col 16}deviance = {res} 7198.204
{txt}Iteration 4:{col 16}deviance = {res} 7194.694
{txt}Iteration 5:{col 16}deviance = {res}  7194.69
{txt}Iteration 6:{col 16}deviance = {res}  7194.69

Number of parameters: 48
Number of observations: 9248
Pseudo log-likelihood: -4847.0131
R-squared: .17676231
Option strict is: off
{txt}{ralign 78:(Std. Err. adjusted for {res:9,248} clusters in input_fid)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   allriotsX{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
allriots_n~N {c |}{col 14}{res}{space 2} .4843031{col 26}{space 2} .0691229{col 37}{space 1}    7.01{col 46}{space 3}0.000{col 54}{space 4} .3488247{col 67}{space 3} .6197815
{txt}{space 6}cereal {c |}{col 14}{res}{space 2} .6121845{col 26}{space 2} .2003997{col 37}{space 1}    3.05{col 46}{space 3}0.002{col 54}{space 4} .2194083{col 67}{space 3} 1.004961
{txt}{space 4}ln_rural {c |}{col 14}{res}{space 2}  .360048{col 26}{space 2} .0666456{col 37}{space 1}    5.40{col 46}{space 3}0.000{col 54}{space 4}  .229425{col 67}{space 3}  .490671
{txt}{space 3}enclosure {c |}{col 14}{res}{space 2} .1323053{col 26}{space 2} .0947426{col 37}{space 1}    1.40{col 46}{space 3}0.163{col 54}{space 4}-.0533868{col 67}{space 3} .3179975
{txt}{space 3}ln_wealth {c |}{col 14}{res}{space 2} .0912716{col 26}{space 2} .1280391{col 37}{space 1}    0.71{col 46}{space 3}0.476{col 54}{space 4}-.1596803{col 67}{space 3} .3422235
{txt}{space 4}ln_males {c |}{col 14}{res}{space 2}-.6628603{col 26}{space 2} .7189953{col 37}{space 1}   -0.92{col 46}{space 3}0.357{col 54}{space 4}-2.072065{col 67}{space 3} .7463446
{txt}ln_total_o~n {c |}{col 14}{res}{space 2} .8290818{col 26}{space 2} .7324998{col 37}{space 1}    1.13{col 46}{space 3}0.258{col 54}{space 4}-.6065913{col 67}{space 3} 2.264755
{txt}{space 4}ln_trade {c |}{col 14}{res}{space 2} .2092791{col 26}{space 2} .0889237{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .0349919{col 67}{space 3} .3835662
{txt}ln_profess~s {c |}{col 14}{res}{space 2} -.041663{col 26}{space 2} .0593121{col 37}{space 1}   -0.70{col 46}{space 3}0.482{col 54}{space 4}-.1579126{col 67}{space 3} .0745866
{txt}ln_petitions {c |}{col 14}{res}{space 2} .1730445{col 26}{space 2} .0850298{col 37}{space 1}    2.04{col 46}{space 3}0.042{col 54}{space 4} .0063891{col 67}{space 3} .3396999
{txt}{space 5}news_10 {c |}{col 14}{res}{space 2}-.0588173{col 26}{space 2} .1110558{col 37}{space 1}   -0.53{col 46}{space 3}0.596{col 54}{space 4}-.2764826{col 67}{space 3}  .158848
{txt}ln_garr_mi~s {c |}{col 14}{res}{space 2} .0763127{col 26}{space 2} .0748216{col 37}{space 1}    1.02{col 46}{space 3}0.308{col 54}{space 4}-.0703349{col 67}{space 3} .2229602
{txt}{space 3}Dpolice10 {c |}{col 14}{res}{space 2} .1451066{col 26}{space 2} .0941709{col 37}{space 1}    1.54{col 46}{space 3}0.123{col 54}{space 4} -.039465{col 67}{space 3} .3296782
{txt}{space 2}_Icounty_2 {c |}{col 14}{res}{space 2} 1.706883{col 26}{space 2} .4688558{col 37}{space 1}    3.64{col 46}{space 3}0.000{col 54}{space 4} .7879423{col 67}{space 3} 2.625823
{txt}{space 2}_Icounty_3 {c |}{col 14}{res}{space 2}  1.62451{col 26}{space 2} .5285267{col 37}{space 1}    3.07{col 46}{space 3}0.002{col 54}{space 4} .5886165{col 67}{space 3} 2.660403
{txt}{space 2}_Icounty_4 {c |}{col 14}{res}{space 2} .2430463{col 26}{space 2} .4769378{col 37}{space 1}    0.51{col 46}{space 3}0.610{col 54}{space 4}-.6917346{col 67}{space 3} 1.177827
{txt}{space 2}_Icounty_5 {c |}{col 14}{res}{space 2} .5829967{col 26}{space 2} .5710656{col 37}{space 1}    1.02{col 46}{space 3}0.307{col 54}{space 4}-.5362712{col 67}{space 3} 1.702265
{txt}{space 2}_Icounty_6 {c |}{col 14}{res}{space 2}-.3779925{col 26}{space 2} .5690731{col 37}{space 1}   -0.66{col 46}{space 3}0.507{col 54}{space 4}-1.493355{col 67}{space 3} .7373703
{txt}{space 2}_Icounty_7 {c |}{col 14}{res}{space 2} .5253853{col 26}{space 2}  .897001{col 37}{space 1}    0.59{col 46}{space 3}0.558{col 54}{space 4}-1.232704{col 67}{space 3} 2.283475
{txt}{space 2}_Icounty_8 {c |}{col 14}{res}{space 2} .5615062{col 26}{space 2} .5271946{col 37}{space 1}    1.07{col 46}{space 3}0.287{col 54}{space 4}-.4717763{col 67}{space 3} 1.594789
{txt}{space 2}_Icounty_9 {c |}{col 14}{res}{space 2}-.3774762{col 26}{space 2} .5503862{col 37}{space 1}   -0.69{col 46}{space 3}0.493{col 54}{space 4}-1.456213{col 67}{space 3} .7012609
{txt}{space 1}_Icounty_10 {c |}{col 14}{res}{space 2} .9662098{col 26}{space 2} .4798513{col 37}{space 1}    2.01{col 46}{space 3}0.044{col 54}{space 4} .0257185{col 67}{space 3} 1.906701
{txt}{space 1}_Icounty_12 {c |}{col 14}{res}{space 2}  .470196{col 26}{space 2} .4601038{col 37}{space 1}    1.02{col 46}{space 3}0.307{col 54}{space 4}-.4315908{col 67}{space 3} 1.371983
{txt}{space 1}_Icounty_13 {c |}{col 14}{res}{space 2} .5212084{col 26}{space 2} .4989379{col 37}{space 1}    1.04{col 46}{space 3}0.296{col 54}{space 4}-.4566919{col 67}{space 3} 1.499109
{txt}{space 1}_Icounty_14 {c |}{col 14}{res}{space 2} 1.677541{col 26}{space 2} .4441114{col 37}{space 1}    3.78{col 46}{space 3}0.000{col 54}{space 4} .8070992{col 67}{space 3} 2.547984
{txt}{space 1}_Icounty_15 {c |}{col 14}{res}{space 2} -.367321{col 26}{space 2} .6450783{col 37}{space 1}   -0.57{col 46}{space 3}0.569{col 54}{space 4}-1.631651{col 67}{space 3} .8970094
{txt}{space 1}_Icounty_16 {c |}{col 14}{res}{space 2}  -.23209{col 26}{space 2} .5992289{col 37}{space 1}   -0.39{col 46}{space 3}0.699{col 54}{space 4}-1.406557{col 67}{space 3} .9423772
{txt}{space 1}_Icounty_17 {c |}{col 14}{res}{space 2} 1.080165{col 26}{space 2} .4900044{col 37}{space 1}    2.20{col 46}{space 3}0.027{col 54}{space 4} .1197744{col 67}{space 3} 2.040556
{txt}{space 1}_Icounty_18 {c |}{col 14}{res}{space 2} 1.593052{col 26}{space 2} .4549125{col 37}{space 1}    3.50{col 46}{space 3}0.000{col 54}{space 4} .7014401{col 67}{space 3} 2.484664
{txt}{space 1}_Icounty_19 {c |}{col 14}{res}{space 2} .0937153{col 26}{space 2} .5247855{col 37}{space 1}    0.18{col 46}{space 3}0.858{col 54}{space 4}-.9348454{col 67}{space 3} 1.122276
{txt}{space 1}_Icounty_20 {c |}{col 14}{res}{space 2}-.2099522{col 26}{space 2} .5783327{col 37}{space 1}   -0.36{col 46}{space 3}0.717{col 54}{space 4}-1.343463{col 67}{space 3}  .923559
{txt}{space 1}_Icounty_21 {c |}{col 14}{res}{space 2} .1272873{col 26}{space 2} .4658297{col 37}{space 1}    0.27{col 46}{space 3}0.785{col 54}{space 4}-.7857222{col 67}{space 3} 1.040297
{txt}{space 1}_Icounty_22 {c |}{col 14}{res}{space 2}-.3719548{col 26}{space 2} .6145535{col 37}{space 1}   -0.61{col 46}{space 3}0.545{col 54}{space 4}-1.576458{col 67}{space 3} .8325479
{txt}{space 1}_Icounty_23 {c |}{col 14}{res}{space 2} 1.016844{col 26}{space 2} .4313069{col 37}{space 1}    2.36{col 46}{space 3}0.018{col 54}{space 4} .1714983{col 67}{space 3}  1.86219
{txt}{space 1}_Icounty_24 {c |}{col 14}{res}{space 2}  .269667{col 26}{space 2} .4937086{col 37}{space 1}    0.55{col 46}{space 3}0.585{col 54}{space 4}-.6979842{col 67}{space 3} 1.237318
{txt}{space 1}_Icounty_26 {c |}{col 14}{res}{space 2} .1125616{col 26}{space 2} .5255555{col 37}{space 1}    0.21{col 46}{space 3}0.830{col 54}{space 4}-.9175082{col 67}{space 3} 1.142631
{txt}{space 1}_Icounty_27 {c |}{col 14}{res}{space 2} 1.251674{col 26}{space 2}  .515095{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4}  .242106{col 67}{space 3} 2.261241
{txt}{space 1}_Icounty_29 {c |}{col 14}{res}{space 2} .4715647{col 26}{space 2} .7543545{col 37}{space 1}    0.63{col 46}{space 3}0.532{col 54}{space 4}-1.006943{col 67}{space 3} 1.950072
{txt}{space 1}_Icounty_30 {c |}{col 14}{res}{space 2}  .048552{col 26}{space 2} .5462262{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4}-1.022032{col 67}{space 3} 1.119136
{txt}{space 1}_Icounty_31 {c |}{col 14}{res}{space 2}  .288386{col 26}{space 2} .5310607{col 37}{space 1}    0.54{col 46}{space 3}0.587{col 54}{space 4}-.7524739{col 67}{space 3} 1.329246
{txt}{space 1}_Icounty_32 {c |}{col 14}{res}{space 2} .7588744{col 26}{space 2} .4509195{col 37}{space 1}    1.68{col 46}{space 3}0.092{col 54}{space 4}-.1249115{col 67}{space 3}  1.64266
{txt}{space 1}_Icounty_33 {c |}{col 14}{res}{space 2} .4926035{col 26}{space 2} .4737769{col 37}{space 1}    1.04{col 46}{space 3}0.298{col 54}{space 4}-.4359821{col 67}{space 3} 1.421189
{txt}{space 1}_Icounty_34 {c |}{col 14}{res}{space 2} 1.429449{col 26}{space 2} .4415571{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} .5640133{col 67}{space 3} 2.294885
{txt}{space 1}_Icounty_35 {c |}{col 14}{res}{space 2}-.7342471{col 26}{space 2} .5967108{col 37}{space 1}   -1.23{col 46}{space 3}0.219{col 54}{space 4}-1.903779{col 67}{space 3} .4352846
{txt}{space 1}_Icounty_37 {c |}{col 14}{res}{space 2} 1.642271{col 26}{space 2} .4355856{col 37}{space 1}    3.77{col 46}{space 3}0.000{col 54}{space 4} .7885393{col 67}{space 3} 2.496003
{txt}{space 1}_Icounty_38 {c |}{col 14}{res}{space 2} .4066264{col 26}{space 2} .5453928{col 37}{space 1}    0.75{col 46}{space 3}0.456{col 54}{space 4}-.6623239{col 67}{space 3} 1.475577
{txt}{space 1}_Icounty_39 {c |}{col 14}{res}{space 2}-.3959683{col 26}{space 2} .4694217{col 37}{space 1}   -0.84{col 46}{space 3}0.399{col 54}{space 4}-1.316018{col 67}{space 3} .5240813
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-7.690981{col 26}{space 2} 1.311555{col 37}{space 1}   -5.86{col 46}{space 3}0.000{col 54}{space 4}-10.26158{col 67}{space 3} -5.12038
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * Table A2: Correlations matrix
. corrtex cereal ln_rural enclosure ln_wealth ln_males ln_total_of_person ln_trade ln_professionals ln_petitions news_10 ln_garr_min_dis Dpolice10, file(corr_cross.tex)


{res}\begin{c -(}table{c )-}[htbp]\centering \caption{c -(}Cross-correlation table\label{c -(}corrtable{c )-}{c )-}
\begin{c -(}tabular{c )-}{c -(}l  c  c  c  c  c  c  c  c  c  c  c  c {c )-}\hline\hline
\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Variables{c )-} &dummy (area grows cereals)&Log of families in agriculture&Enclosed before 1830&Log wealth&Log of males&Log of population&Log of workers in trade and handicraft&Log of professional workers&Log of petitions&Near newspaper (10 km)&Log distance to garrison&Near police force (10km)\\ \hline
dummy (area grows cereals)&1.000\\
Log of families in agriculture&-0.032&1.000\\
Enclosed before 1830&-0.072&0.254&1.000\\
Log wealth&-0.002&-0.293&-0.070&1.000\\
Log of males&-0.032&0.551&0.146&-0.629&1.000\\
Log of population&-0.033&0.541&0.144&-0.633&0.998&1.000\\
Log of workers in trade and handicraft&-0.056&0.391&0.135&-0.616&0.916&0.916&1.000\\
Log of professional workers&-0.013&0.143&0.030&-0.426&0.764&0.769&0.789&1.000\\
Log of petitions&-0.037&0.206&0.137&-0.271&0.478&0.477&0.464&0.442&1.000\\
Near newspaper (10 km)&-0.080&-0.122&-0.051&-0.089&0.074&0.079&0.105&0.137&0.011&1.000\\
Log distance to garrison&-0.403&0.187&0.176&0.070&-0.140&-0.142&-0.160&-0.262&-0.068&-0.018&1.000\\
Near police force (10km)&-0.066&-0.028&-0.023&-0.070&0.057&0.061&0.064&0.080&0.014&0.423&-0.021&1.000\\
\hline \hline 
 \end{c -(}tabular{c )-}
\end{c -(}table{c )-}

 Output writted successfully in file : {txt}corr_cross.tex

{com}. 
. * Table A3: Summary stats
. outreg2 using A3, tex(frag) auto(2) lab replace sum(log) drop(_Icounty* input_fid) sortvar(allriotsX cereal ln_rural enclosure ln_wealth ln_males ln_total_of_person ln_trade ln_professionals ln_petitions news_10 ln_garr_min_dis Dpolice10 allriots_nearRN)

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}input_fid {c |}{res}     10,335    5688.696    3350.581          0      11375
{txt}ln_garr_mi~s {c |}{res}     10,335    10.73003    .8819131   3.507984   11.88987
{txt}ln_total_o~n {c |}{res}     10,317    6.105014    1.235451          0   12.01477
{txt}{space 4}ln_males {c |}{res}     10,317      5.4197    1.207779          0   11.24671
{txt}{space 4}ln_rural {c |}{res}     10,317    3.731869    1.137234          0   6.765039
{txt}{hline 13}{c +}{hline 57}
{space 4}ln_trade {c |}{res}     10,317    3.018986    1.580496          0   9.858909
{txt}ln_profess~s {c |}{res}     10,317    1.373056    1.311203          0   8.604837
{txt}ln_petitions {c |}{res}     10,335     .253264    .5063306          0   4.060443
{txt}{space 6}cereal {c |}{res}     10,335    .5136913    .4998367          0          1
{txt}{space 5}news_10 {c |}{res}     10,335    .2153846    .4111088          0          1
{txt}{hline 13}{c +}{hline 57}
{space 3}Dpolice10 {c |}{res}     10,335    .3664248    .4818507          0          1
{txt}{space 3}enclosure {c |}{res}     10,335    .3608128    .4802595          0          1
{txt}{space 3}ln_wealth {c |}{res}      9,492    1.987563    .5434162          0   5.764644
{txt}{space 3}allriotsX {c |}{res}     10,335    .2156749    .9107799          0         20
{txt}allriots_n~N {c |}{res}     10,335     .212984    .3600851          0   4.722222
{txt}{hline 13}{c +}{hline 57}
{space 2}_Icounty_2 {c |}{res}     10,335    .0160619    .1257198          0          1
{txt}{space 2}_Icounty_3 {c |}{res}     10,335    .0201258    .1404373          0          1
{txt}{space 2}_Icounty_4 {c |}{res}     10,335    .0165457    .1275678          0          1
{txt}{space 2}_Icounty_5 {c |}{res}     10,335    .0100629    .0998128          0          1
{txt}{space 2}_Icounty_6 {c |}{res}     10,335    .0197388    .1391079          0          1
{txt}{hline 13}{c +}{hline 57}
{space 2}_Icounty_7 {c |}{res}     10,335     .011224    .1053522          0          1
{txt}{space 2}_Icounty_8 {c |}{res}     10,335    .0147073    .1203844          0          1
{txt}{space 2}_Icounty_9 {c |}{res}     10,335    .0460571    .2096189          0          1
{txt}{space 1}_Icounty_10 {c |}{res}     10,335    .0270924    .1623606          0          1
{txt}{space 1}_Icounty_11 {c |}{res}     10,335    .0085148    .0918862          0          1
{txt}{hline 13}{c +}{hline 57}
{space 1}_Icounty_12 {c |}{res}     10,335    .0402516    .1965582          0          1
{txt}{space 1}_Icounty_13 {c |}{res}     10,335    .0345428    .1826276          0          1
{txt}{space 1}_Icounty_14 {c |}{res}     10,335    .0342525     .181886          0          1
{txt}{space 1}_Icounty_15 {c |}{res}     10,335    .0229318    .1496933          0          1
{txt}{space 1}_Icounty_16 {c |}{res}     10,335    .0134494    .1151948          0          1
{txt}{hline 13}{c +}{hline 57}
{space 1}_Icounty_17 {c |}{res}     10,335    .0102564    .1007581          0          1
{txt}{space 1}_Icounty_18 {c |}{res}     10,335    .0411224    .1985829          0          1
{txt}{space 1}_Icounty_19 {c |}{res}     10,335     .008031    .0892594          0          1
{txt}{space 1}_Icounty_20 {c |}{res}     10,335    .0238994    .1527431          0          1
{txt}{space 1}_Icounty_21 {c |}{res}     10,335    .0656023    .2475976          0          1
{txt}{hline 13}{c +}{hline 57}
{space 1}_Icounty_22 {c |}{res}     10,335    .0210934    .1437026          0          1
{txt}{space 1}_Icounty_23 {c |}{res}     10,335    .0719884    .2584812          0          1
{txt}{space 1}_Icounty_24 {c |}{res}     10,335    .0314465    .1745297          0          1
{txt}{space 1}_Icounty_25 {c |}{res}     10,335    .0095791    .0974077          0          1
{txt}{space 1}_Icounty_26 {c |}{res}     10,335     .022061    .1468889          0          1
{txt}{hline 13}{c +}{hline 57}
{space 1}_Icounty_27 {c |}{res}     10,335    .0227383    .1490751          0          1
{txt}{space 1}_Icounty_28 {c |}{res}     10,335     .005225    .0720983          0          1
{txt}{space 1}_Icounty_29 {c |}{res}     10,335    .0222545    .1475172          0          1
{txt}{space 1}_Icounty_30 {c |}{res}     10,335    .0472182    .2121155          0          1
{txt}{space 1}_Icounty_31 {c |}{res}     10,335    .0160619    .1257198          0          1
{txt}{hline 13}{c +}{hline 57}
{space 1}_Icounty_32 {c |}{res}     10,335    .0501209    .2182051          0          1
{txt}{space 1}_Icounty_33 {c |}{res}     10,335     .014417     .119208          0          1
{txt}{space 1}_Icounty_34 {c |}{res}     10,335     .031253    .1740092          0          1
{txt}{space 1}_Icounty_35 {c |}{res}     10,335    .0211901    .1440247          0          1
{txt}{space 1}_Icounty_36 {c |}{res}     10,335    .0032898    .0572651          0          1
{txt}{hline 13}{c +}{hline 57}
{space 1}_Icounty_37 {c |}{res}     10,335    .0315433    .1747892          0          1
{txt}{space 1}_Icounty_38 {c |}{res}     10,335    .0177068      .13189          0          1
{txt}{space 1}_Icounty_39 {c |}{res}     10,335    .0640542    .2448613          0          1

Following variable is string, not included:  
county  
{txt}{stata `"shellout using `"A3.tex"'"':A3.tex}
{browse `"C:\Users\k1466170\Documents\Great Reform riots\UK riots\Data\Parish Names\Hobsbawm\replication material - BJPolS"' :dir}{com} : {txt}{stata `"seeout using "A3.txt", label"':seeout}

{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\k1466170\Documents\Great Reform riots\UK riots\Data\Parish Names\Hobsbawm\replication material - BJPolS\Swing_replication.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 9 Oct 2020, 13:11:06
{txt}{.-}
{smcl}
{txt}{sf}{ul off}